KFU. Card publication. Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle

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PROGRAM FOR STRUCTURAL CLASSIFICATION ANALYSIS AND PREDICTION OF VARIATION DATA SERIES IN THE STUDY OF THE TECHNOLOGY LIFE CYCLE

Form of presentation

Russian patents

Year of publication

2018

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Authors, employees of KFU

Kamaev Bulat Nailevich, author

Sadriev Azat Rafailovich, author

Bibliographic description in the original language

RU 2018664909 Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle / Kamaev B.N, Sadriev A.R. -� RU 2018664909, 06.11.2018

Annotation

The program is designed to analyze patent and publication information reflecting the stage of development of various technologies. The functionality of the program provides automation of procedures for identifying the existing stages of market maturity of technologies and developing forecasts for their prospective market positioning. Retrospective analysis algorithms are based on the methodology of machine learning with the technique of cluster-classification algorithms, adapted to identify patterns in the development of a particular technology and link them with the concept of the product life cycle. The functional of the predictive model for identifying the dynamics of the market positioning of technology for 10 years ahead is implemented on a methodological platform of artificial neural networks. Program scope: management decision support in the implementation of innovation.

Keywords

life-cycle assessment, technology, economic growth

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=200660&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kamaev Bulat Nailevich	ru_RU
dc.contributor.author	Sadriev Azat Rafailovich	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	RU 2018664909 Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle / Kamaev B.N, Sadriev A.R. -� RU 2018664909, 06.11.2018	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=200660&p_lang=2	ru_RU
dc.description.abstract	The program is designed to analyze patent and publication information reflecting the stage of development of various technologies. The functionality of the program provides automation of procedures for identifying the existing stages of market maturity of technologies and developing forecasts for their prospective market positioning. Retrospective analysis algorithms are based on the methodology of machine learning with the technique of cluster-classification algorithms, adapted to identify patterns in the development of a particular technology and link them with the concept of the product life cycle. The functional of the predictive model for identifying the dynamics of the market positioning of technology for 10 years ahead is implemented on a methodological platform of artificial neural networks. Program scope: management decision support in the implementation of innovation.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	life-cycle assessment	ru_RU
dc.subject	technology	ru_RU
dc.subject	economic growth	ru_RU
dc.title	Program for structural classification analysis and prediction of variation data series in the study of the technology life cycle	ru_RU
dc.type	Russian patents	ru_RU